G E Morris

47 papers receiving 1.0k citations

Peers

G E Morris
Comparison fields: 5 of 134
  • Biomaterials 136
  • Immunology 150
  • Physiology 29
  • Molecular Biology 436
  • Physiology 146
Replace Trevor Gray with:
Trevor Gray United Kingdom
Masakazu Hasegawa Japan
Lucia Kuffová United Kingdom
Giovanni Mazzotti Italy
Juliana Lott Carvalho Brazil
Chris R. Irwin United Kingdom
Nico van Rooijen Netherlands
Gillian M. Beattie United States
Carlotta Castagnoli Italy
Hilde Kanli Galtung Norway
G E Morris relative to Trevor Gray United Kingdom Trevor Gray's profile →
Citations per field
00.5×2.6×
Trevor Gray · 1×
Citations per year

Countries citing papers authored by G E Morris

Since Specialization
Citations

This map shows the geographic impact of G E Morris's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G E Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G E Morris more than expected).

Fields of papers citing papers by G E Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G E Morris. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G E Morris. The network helps show where G E Morris may publish in the future.

Co-authors

The 25 scholars most cited alongside G E Morris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G E Morris Line = papers co-authored together G E Morris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2
Molecular cloning of murine FLT and FLT4.
199376
3 200574
4 200671
5 199156
6 200954
7 201447
8 199043
9 201641
10 201438
11 201035
12 201834
13 201132
14 200928
15 201928
16 199028
17 201527
18 201727
19
A survey of post-operative care after day case surgery.
199620
20 199120

About G E Morris

G E Morris is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Biomaterials and Physiology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Receptor Mechanisms and Signaling (5 papers), Protease and Inhibitor Mechanisms (4 papers), Radio Frequency Integrated Circuit Design (3 papers), Asthma and respiratory diseases (3 papers), Tracheal and airway disorders (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Biomaterials (136 citations), Immunology (150 citations), Physiology (29 citations), Molecular Biology (436 citations) and Physiology (146 citations). G E Morris has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jonathon M. Willets, R. A. John Challiss, Carl P. Nelson, Donna O’Connor, Nicholas B. Standen, Steven Dower, Moira K. B. Whyte, Ian Sabroe, Christopher E. Brightling and Kevin M. Shakesheff. Their work appears in journals such as Journal of Biological Chemistry, Biofabrication, Cardiovascular Research, Proceedings of the National Academy of Sciences and Journal of Visualized Experiments.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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